Triple

T11827091
Position Surface form Disambiguated ID Type / Status
Subject Mahabodhi Temple complex E281284 entity
Predicate locatedIn P40 FINISHED
Object Gaya district E281283 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Gaya district | Statement: [Mahabodhi Temple complex, locatedIn, Gaya district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gaya district
Context triple: [Mahabodhi Temple complex, locatedIn, Gaya district]
  • A. Gaya district chosen
    Gaya district is an administrative region in the Indian state of Bihar, renowned as a major Buddhist pilgrimage center that includes the sacred site of Bodh Gaya.
  • B. Rodat District
    Rodat District is an administrative district located within Nangarhar Province in eastern Afghanistan.
  • C. Koriya district
    Koriya district is an administrative district in the northern part of Chhattisgarh, India, known for its forested terrain, coal reserves, and rich river systems.
  • D. Hai District
    Hai District is an administrative district in northern Tanzania situated within the Kilimanjaro Region, known for its proximity to Mount Kilimanjaro and its largely rural, agricultural communities.
  • E. Nari District
    Nari District is an administrative district in eastern Afghanistan, located within Kunar Province and known for its mountainous terrain near the Pakistan border.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5ec3a148190bb184ba0d481b16a completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f41787c08c8190a3427aaf2f639889 completed May 1, 2026, 3:01 a.m.
Created at: April 8, 2026, 9:43 p.m.